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For the last two decades, significant improvements in charging technologies have been made. Moreover, novel applications have been proposed and tested, obtaining important and promising results. Inductive charging for electric vehicles (EV) and hybrid electric vehicles (HEV) is one of them. Because of the positive impact that this technology represents, it is important to understand the general characteristics...
We consider the problem of reaching consensus in a network of the first-order continuous-time agents with switching topology. The coupling gains are neither piecewise-continuous, nor separated from zero, nor symmetric, though the network topology is assumed to be undirected. The main result of the paper provides conditions on the network topology that are necessary and sufficient for reaching consensus.
A key feature of Modular Multilevel Converters (MMC) is the continuous and independent nature of the branch currents. Therefore, a decoupled control of the line and partial bus currents is possible, unlike for classical topologies. To this end, several control strategies have been proposed in the literature. Unfortunately, some of these strategies appear to be rather complex and are prone to conflicting...
In some cases of grid connected system using photovoltaic modules, high voltage gain is required to match the grid voltage. In this paper, non-isolated high gain boost converter with coupled inductors is proposed. The proposed converter consists of two-stage boost converter which has each inductor coupled and double/enhance circuit (DEC). This topology can reduce inductor current of each stage and...
This paper discusses the conditions of reaching network synchronization for the nearest-neighbor coupled complex networks based on topology structure. It is found that the networks can realize synchronization if the dynamics of the nodes is stable. Then a novel concept of capable feedback synchronization (CFS) is presented. Based on this concept, the synchronization problems of the nearest-neighbor...
Based on statistical concepts, Power Balance (PWB) method is used to estimate the magnitude of electromagnetic energy in electronic system under high-frequency interference. Its effectiveness has been preliminarily confirmed, while its flexibility and convenience are attractive features. In this paper, the generalization of network formulation based on PWB method is presented in details which makes...
This paper presents a general uncertain complex singular dynamical network model. Since the nodes of the network are singular systems, the overall network can only be described by a singular model. Due to the flexible of singular systems in describing practical applications, the complex singular dynamical network has more applications than the regular complex network in which the nodes are described...
A new particle swarm optimization based on grey self-linkage analysis was presented. In order to overcome premature of standard particle swarm optimization, the proposed algorithm considered the interrelations between problem dimensions, which perform more frequent simultaneous updates on subsets of particle position components that are strongly linked and using new speed-location update formula....
According to the character of the typical serial information leakage and the feature in the information leakage problem that multiple points (zone) converge and couple toward one point (zone), several key concepts, such as the emission zone, transmission zone and receiving zone, are defined in this paper. Based on the idea of electromagnetic topology, a completely new construction method of system...
In this paper, we present a new technique to improve the reliability of H-tree SRAM memories. This technique deals with the SRAM power-bus monitoring by using built-in current sensor (BICS) circuits that detect abnormal current dissipation in the memory power-bus. This abnormal current is the result of a single-event upset (SEU) in the memory and it is generated during the inversion of the state of...
Oscillatory networks represent the most appropriate paradigm for modeling almost all physical, biological and chemical systems that exhibit periodic collective behavior. Under the assumption that the entities composing the system interact weakly, it has been shown that such weakly connected oscillatory networks (WCONs) can be exploited for dynamic pattern recognition. In this manuscript we have considered...
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